Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Master LLM cost management — understand API pricing models, input vs output token economics, prompt caching, model routing, and practical strategies to reduce your AI spend by 80% or more.
Edge AI runs inference directly on devices, eliminating cloud latency and enabling real-time decisions. Learn how on-device AI works and where it delivers the most value.
Care robots for the elderly combine mobility assistance, health monitoring, and companionship AI to address the growing caregiver shortage. See what works in 2026.
Build an AI agent that processes inbound emails, detects intent, generates contextual responses, and manages threaded conversations using FastAPI and IMAP integration.
Optimize embedding costs for AI agent systems with practical strategies for caching embeddings, selecting cost-effective models, batch sizing, and storage optimization. Reduce embedding spend by 60-80%.
Learn when to use cosine similarity, Euclidean distance, or dot product for vector search, how normalization affects results, and practical guidance on choosing dimensions and metrics.
Compare embedding models for RAG pipelines across dimensions, retrieval quality, latency, and cost — including OpenAI text-embedding-3, Cohere embed-v3, and open-source sentence-transformers alternatives.
Learn what embeddings are, how they capture semantic meaning as vectors, how to use embedding models for search and clustering, and the role cosine similarity plays in AI applications.
Implement sentiment-aware AI agents that detect user emotions, adapt their tone and communication style, apply empathy patterns, and de-escalate tense interactions.
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